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Waters, E. V.

Publications and source records attributed to Waters, E. V..

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Salmonella Genomic Markers for Risk to Food Safety

Foodborne non-typhoidal Salmonella remains a major public health concern, yet many isolates recovered through food surveillance are not associated with human illness. To investigate whether genomic factors influence infection risk, we analysed whole-genome sequencing data from over 900 food and environmental isolates collected through UK Health Security Agency surveillance. Hierarchical clustering and comparative genomics identified distinct lineages associated with clinical cases, which were further contextualised using the global EnteroBase database. By combining pangenome and genome-wide association analyses, we identified distinct lineages within several serovars that differed in their association with human cases. In Salmonella Agona, all clinical isolates belonged to a single lineage carrying a highly conserved 7 kb marker that was absent from low-risk strains and demonstrated strong sensitivity and specificity across global datasets. This marker was located within a prophage closely related to the well-characterised Fels-2 phage and encodes a DNA invertase previously implicated in phase variation, a mechanism that promotes bacterial adaptability. Our findings indicate that infection risk can be structured at the lineage level and associated with mobile genomic elements, particularly prophages, that may contribute to environmental persistence and host adaptation. This work advances genomic surveillance from retrospective linkage towards mechanistic and predictive risk assessment, with direct relevance for supporting risk-based decision-making during outbreak investigations. IMPORTANCENot all strains found in food pose the same risk to human health, yet current surveillance systems generally treat them as equivalent hazards. We analysed over 900 genomes from food and environmental sources and found that human infection risk can be concentrated within specific genetic lineages rather than distributed across an entire serovar. In Salmonella Agona, we identified a highly conserved prophage-associated marker with strong sensitivity and specificity for infection-associated lineages. This marker was located within a prophage related to the well-characterised Fels-2 phage and encoded a DNA invertase previously associated to bacterial adaptation. These findings show how genome sequencing can move beyond outbreak detection to identify lineages with elevated public health relevance. Incorporating such information into surveillance programmes could improve risk-based decision-making, helping public health agencies prioritise investigations and interventions more effectively.

genomics↗

From Acute to Persistent Infection: Revealing Phylogenomic Variations in Salmonella Agona

BackgroundSalmonella enterica serovar Agona (S. Agona) has been increasingly recognised as a prominent cause of gastroenteritis. This serovar is a strong biofilm former that can undergo genome rearrangement and enter a viable but non-culturable state whilst remaining metabolically active. Similar strategies are employed by S. Typhi, the cause of typhoid fever, during human infection, which are believed to assist with the transition from acute infection to chronic carriage. Here we report S. Agonas ability to persist in people and examine factors that might be contributing to chronic carriage. MethodsA review of 2,233 S. Agona isolates from UK infections (2004-2020) and associated carriage was undertaken, in which 1,155 had short-read sequencing data available. A subset of 207 isolates was selected from different stages of acute and persistent infections within individual patients. The subset underwent long-read sequencing and genome structure (GS) analysis, as well as phenotyping assays including carbon source utilisation and biofilm formation. Associations between genotypes and phenotypes were investigated to compare acute infections to those which progress to chronic. ResultsGS analysis revealed the conserved arrangement GS1.0 in 195 isolates, and 8 additional GSs in 12 isolates. These rearranged isolates were typically associated with early, convalescent carriage (3 weeks - 3 months). We also identified an increase in SNP variation during this period of infection. ConclusionWe believe this increase in genome-scale and SNP variation reflects a population expansion after acute S. Agona infection, potentially reflecting an immune evasion mechanism which enables persistent infection to become established.

genomics↗

Impact of Salmonella genome rearrangement on gene expression

In addition to nucleotide variation, many bacteria also undergo changes at a much larger scale via rearrangement of their genome structure around long repeat sequences. These rearrangements result in genome fragments shifting position and/or orientation in the genome without necessarily affecting the underlying nucleotide sequence. To date, scalable techniques have not been applied to genome structure (GS) identification, so it remains unclear how extensive this variation is and the extent of its impact upon gene expression. However, the emergence of multiplexed, long-read sequencing overcomes the scale problem, as reads of several thousand bases are routinely produced that can span long repeat sequences to identify the flanking chromosomal DNA, allowing GS identification. Genome rearrangements were generated in Salmonella enterica serovar Typhi through long-term culture at ambient temperature. Colonies with rearrangements were identified via long-range PCR and subjected to long-read nanopore sequencing to confirm genome variation. Four rearrangements were investigated for differential gene expression using transcriptomics. All isolates with changes in genome arrangement relative to the parent strain were accompanied by changes in gene expression. Rearrangements with similar fragment movements demonstrated similar changes in gene expression. The most extreme rearrangement caused a large imbalance between the origin and terminus of replication and was associated with differential gene expression as a factor of distance moved towards or away from the origin of replication. Genome structure variation may provide a mechanism through which bacteria can quickly adapt to new environments and warrants routine assessment alongside traditional nucleotide level measures of variation.

genomics↗